Google’s AI travel push sparks industry rethink on bookings

Google’s AI Mode in Search and Maps is rapidly evolving into a comprehensive travel and commerce assistant by integrating agentic features that allow users to book hotels, track flight prices, and order food without leaving the app. This seamless cross-application automation is exemplified by the U.S. trial of AI-driven hotel booking in Search, partnering with major industry players like Booking Holdings, Expedia, Marriott International, and Priceline, enabling users to find, compare, and pay for rooms directly through conversational AI using Google Pay.

The AI-powered travel tools personalize trip planning by learning user preferences over time and presenting tailored hotel recommendations enriched with live availability, pricing, guest reviews, sentiment analysis, and map locations within a single conversational interface. While Google facilitates the booking process, actual transactions and customer support remain with the hotels or OTAs, reflecting a collaborative operational model that enhances user convenience without disrupting existing industry workflows.

Flight price tracking in AI Mode is now widely available across more than 180 countries, covering over 300 airlines and travel sites globally (excluding the European Economic Area), and sends users timely email alerts on price changes for their planned trips. Additionally, the system supports viewing flight and hotel costs in loyalty points or miles, initially integrating with partners such as Alaska Airlines, Hilton, Wyndham, and American Airlines, thereby deepening personalization and flexibility in travel budgeting.

Google’s AI travel features currently prioritize mobile access through the Google Maps app, emphasizing a mobile-first approach that leverages natural language conversations for end-to-end trip planning. However, the effectiveness of these AI tools depends heavily on up-to-date and complete property information from hotels, as outdated listings risk being overlooked by the AI, underscoring the importance of accurate data management for industry partners to fully benefit from this technological shift.

Booking.com and other major OTAs view AI primarily as a complementary tool that enhances travel planning and customer service without fully replacing human involvement anytime soon. Given the high financial, emotional, and time stakes of travel bookings, consumers remain hesitant to delegate entire booking decisions to AI agents, preferring to stay engaged in the process, especially for leisure trips where planning is part of the enjoyment. Booking.com integrates AI-powered itinerary planning and natural language search while maintaining significant human oversight, reflecting a cautious but steady adoption of AI to augment rather than supplant human roles.

The OTA market is undergoing a notable evolution as AI-driven platforms like ChatGPT begin to offer end-to-end trip planning and booking capabilities, challenging traditional intermediaries. Expedia, for example, is developing AI tools that generate itineraries directly from social media content and work with supply partners to facilitate bookings, signaling a shift toward more seamless, agentic AI interactions. Meanwhile, hotels and airlines are incentivized to prioritize direct bookings through AI channels to avoid the 15-20% commissions paid to OTAs, pressuring OTAs to innovate or pivot, as seen with TripAdvisor’s strategic focus on experiences bookings to maintain relevance.

Despite these technological advances, industry leaders acknowledge that AI-powered agentic booking remains a low priority and a nascent capability, with airline executives rating its importance under 5%. Consumer trust in AI to autonomously book flights and hotels is still developing, and widespread adoption is expected to take several more years. Companies like Mumba are pioneering trusted transactional identity layers to enable secure AI-driven bookings, while Google is methodically advancing AI itinerary building and booking at a deliberate pace, positioning itself as a likely dominant player once consumer readiness and technology maturity align.

Industry experts emphasize that AI’s role in travel marketplaces is to enhance personalization and operational efficiency rather than replace the human touch, underscoring the importance of continuous learning and adaptation in this rapidly evolving landscape. As Ania Smith notes, AI helps optimize matches and reduce manual tasks, making service providers’ jobs easier while maintaining human oversight. This hybrid approach is reflected across the sector, where AI-powered conversational search tools from major hotel chains like IHG, Hilton, and Marriott enable more natural, personalized booking experiences, demonstrating AI’s pervasive yet nuanced integration into travel planning.

AI-driven travel planning is fundamentally reshaping hotel competition by shifting the battleground from traditional search rankings to nuanced AI recommendations. Hotels must now ensure they are not only visible but accurately associated with the right experiences, audiences, and attributes that align with their business goals. This means addressing perception gaps revealed when AI favors competitors for experiences a hotel also offers, which often stems from inconsistent or unclear content across channels, underscoring the critical need for precise, consistent messaging to influence AI’s understanding and recommendation algorithms.

While OTAs have rapidly adapted to the AI era by building specialized teams fluent in AI-specific marketing vocabularies and optimization techniques like Generative Engine Optimization (GEO), many independent hotels lag behind, creating a widening competitive disadvantage. This gap is compounded by challenges such as AI 'drift,' where outdated or inaccurate property information—like incorrect pet policies—can silently erode direct bookings without any alerts, highlighting the urgent need for hotels to overhaul their data management and content strategies to maintain control over their AI-driven visibility.

The rise of AI-powered booking protocols, exemplified by Google's Universal Checkout Protocol (UCP), signals a looming shift toward seamless in-AI booking experiences that threaten to disintermediate hotels from direct customer relationships. To safeguard these connections, hotels must proactively prepare foundational data and systems now, embracing AI not merely as a chatbot tool but as a trusted system of action that leverages proprietary operational data and workflow context—assets that, as Adam Harris emphasizes, will become the true competitive moats in the AI-driven hospitality landscape.

Google’s acquisition of Spirit Airlines’ extensive internal data—including roughly 100 million emails, 500 million Teams messages, and detailed pricing and operational models—marks a strategic leap in enhancing AI capabilities for travel advertising and operational forecasting. This rich dataset enables Google to refine audience targeting for budget-conscious travelers and improve demand models by integrating airline capacity and pricing dynamics, thereby transforming how travel campaigns are planned and measured across hotels, experiences, and destinations. Moreover, anonymized internal communications can feed generative AI tools to simulate and optimize marketing strategies, signaling a new era of AI-driven operational efficiency in hospitality and travel.

Despite widespread investment—80% of companies surveyed by McKinsey are building agentic AI capabilities—the monetization of AI in travel remains elusive, with few firms reporting tangible profits or efficiency gains. Traditional cost-per-click models like Google AdWords are poised to evolve into AI engine optimization frameworks that better align with agentic AI’s ask-and-act paradigm, where AI systems autonomously manage bookings and trip coordination. However, ultimate control over inventory remains with airlines, hotels, and rental car suppliers, necessitating a redefinition of financial flows and partnerships between AI intermediaries and suppliers as the industry navigates a transformative phase reminiscent of the early 2000s OTA shakeout.

Agentic AI’s shift from a search-and-select to an ask-and-act model is forcing hotels, OTAs, and airlines to reconsider their roles in owning guest relationships versus delegating control to third-party AI platforms. This evolution raises strategic questions about distribution channel control and guest experience management, especially as consumer trust in AI grows—Booking.com reports 89% of travelers want AI assistance in future planning, and 84% of users say it improves their experience. The integration of AI super agents, powered by data streams from tools like Slack and Guesty PMS, promises dramatic improvements in operational workflows and guest services, though it also surfaces ethical concerns around data privacy and employee consent.